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* Title: 		definitions
* Project:		Stress, Ethnicity, and Prosocial Behavior
* Author: 		Moritz Poll (moritz.poll@busaracenter.org)
* PIs:			Johannes Haushofer, Nathan Nunn, Sara Lowes, Nancy Qian
* Purpose:		Labels and other definitions
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********************************* Definitions **********************************
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** Value Labels
// label drop _all
capture label define yesno				0 "No" 1 "Yes"
capture label define treat				0 "Placebo" 1 "Hydrocortisone"
capture label define gender				1 "Male" 2 "Female"
capture label define female				0 "Male" 1 "Female"
capture label define agegroup			1 "Young (18-35)" 2 "Middle-Aged (36-50)" 3 "Old (51-60)"
capture label define tribe 				1 "Luo" 2 "Kikuyu" 3 "Luhya" 4 "Kamba" .d "Other/Don't Know" // The last is not an option for own mother tongue
capture label define player_type		1 "Male, Young, Luo" 2 "Male, Young, Kikuyu" 3 "Male, Young, Luhya" 4 "Male, Young, Kamba" 5 "Male, Middle-Aged, Luo" 6 "Male, Middle-Aged, Kikuyu" 7 "Male, Middle-Aged, Luhya" 8 "Male, Middle-Aged, Kamba" 9 "Male, Old, Luo" 10 "Male, Old, Kikuyu" 11 "Male, Old, Luhya" 12 "Male, Old, Kamba" 13 "Female, Young, Luo" 14 "Female, Young, Kikuyu" 15 "Female, Young, Luhya" 16 "Female, Young, Kamba" 17 "Female, Middle-Aged, Luo" 18 "Female, Middle-Aged, Kikuyu" 19 "Female, Middle-Aged, Luhya" 20 "Female, Middle-Aged, Kamba" 21 "Female, Old, Luo" 22 "Female, Old, Kikuyu" 23 "Female, Old, Luhya" 24 "Female, Old, Kamba"
capture label define luo				1 "Luo" 0 "Not Luo"
capture label define kikuyu				1 "Kikuyu" 0 "Not Kikuyu"
capture label define luhya				1 "Luhya" 0 "Not Luhya"
capture label define kamba				1 "Kamba" 0 "Not Kamba"
capture label define kibera				1 "Kibera" 0 "Not Kibera"
capture label define kawangware			1 "Kawangware" 0 "Not Kawangware"
capture label define viwandani			1 "Viwandani" 0 "Not Viwandani"
capture label define primary			1 "Some primary education" 0 "More or less than primary education"
capture label define secondary			1 "Some secondary education" 0 "More or less than secondary education"
capture label define college			1 "Some college education" 0 "More or less than college education"
capture label define married			1 "Married or cohabiting" 0 "Not married or cohabiting"
capture label define single				1 "Single, divorced or widowed" 0 "Not single, divorced or widowed"
capture label define opp 				0 "Government Affiliation" 1 "Opposition Affiliation"
capture label define person 			1 "Person A" 2 "Person B"
capture label define edu    			0 "None" 1 "Primary" 2 "Secondary" 3 "College"
capture label define likely 			1 "Very unlikely" 2 "Unlikely" 3 "Neither likely nor unlikely" 4 "Likely" 5 "Very likely"
capture label define likert 			1 "Not at all" 2 "A bit" 3 "Somewhat" 4 "Mostly" 5 "Completely"
capture label define incorrectd			0 "Correct on first attempt" 1 "Incorrect on first attempt"
capture label define confidence 		0 "Not fully confident" 1 "Fully confident"
capture label define demand				0 "Neutral" 1 "Demand Treatment"
capture label define game 				1 "$dg_name" 2 "$cyd_name A" 3 "$cyd_name B" 4 "$tg1_name" 5 "$tg2_name (KES 120)" 6 "$tg2_name (KES 240)" 7 "$tg2_name (KES 360)" 8 "$tg2_name (KES 480)" 9 "$tg2_name (KES 600)" 10 "Likely to be friends" 11 "Closeness" 12 "Trust" 13 "$social_proximity_name" 14 "$demand_name"
capture label define game_ext			1 "$dg_name" 4 "$tg1_name" 5 "$tg2_name" 13 "social_proximity_name" 14 "$demand_name"
capture label define same				0 "Different" 1 "Same"
capture label define same_eth			0 "Different ethnicity" 1 "Same ethnicity"
capture label define same_mothertongue	0 "Different ethnicity" 1 "Same ethnicity"
capture label define same_age			0 "Different age group" 1 "Same age group"
capture label define same_sex			0 "Different gender" 1 "Same gender"
capture label define same_gender		0 "Different gender" 1 "Same gender"
capture label define same_coa			0 "Different coalition" 1 "Same coalition"
capture label define settlement			1 "Kibera" 2 "Kawangware" 3 "Viwandani" 0 "Other"
capture label define month 				1 "January" 2 "February" 3 "March" 4 "April" 5 "May" 6 "June" 7 "July" 8 "August" 9 "September" 10 "October" 11 "November" 12 "December"
capture label define dow				0 "Sunday" 1 "Monday" 2 "Tuesday" 3 "Wednesday" 4 "Thursday" 5 "Friday" 6 "Saturday"
capture label define taskorder			1 "$dg_name first" 2 "$tg1_name first"


// label define income		1 "Continuous" 2 "Don't know" 3 "Occasional" 4 "Refused to answer" 5 "refusal"
// label define employment 1 "Don't know" 2 "Employee" 3 "Self Employed" 4 "Unemployed" 5 "refusal"

